Web mining is a central part of data analysis. The fetching and discovering knowledge from
the different web data in data mining mechanism is more important nowadays. Web usage …

Quantum machine learning recently gained prominence due to the computational ability of
quantum computers in solving machine learning problems that are intractable on a classical …

In this paper, we develop a novel classification algorithm that is based on the integration
between competitive learning and the computational power of quantum computing. The …

This paper shows a novel quantum computing model that solves quantum computing
problems based on the degree of entanglement. We show two main theorems: the first …

In this paper, a novel quantum classification algorithm that is based on competitive learning
is presented to classify an input pattern that results from the failures of some sensors. As …

This paper proposes an image encryption scheme based on a discrete-time alternating
quantum walk (AQW) and the advanced encryption standard (AES). We use quantum …

In this present work, we retrieve the optical solitons in birefringent fibers modeled by
Radhakrishnan-Kundu-Lakshmanan (RKL) equation in coupled vector form. The system is …

In this paper, we draw attention to consider that the quantum entanglement measurement
should be implemented as a key part during manufacturing the quantum processors and …

Machine learning (ML) architectures based on neural model have garnered considerable
attention in the field of language classification. Code-mixing is a common phenomenon on …

In the last decade, quantum computing has showcased its unique mechanism across
diverse fields, highlighting significant potential for data-driven applications requiring …